As shown in Fig.REF , we use common classifier \(C_1\)  and adversarial speaker classifier \(C_2\)  to recognize the identity of speaker.
The vCLUB [1]} is used to compute the upper bound of MI for irrelevant information of the speaker.
A measure of the dependence between two different variables can be formulated as:
\(\mathcal {I}(X, Y)=\int _{X} \int _{Y} P(X, Y) \log \frac{P(X, Y)}{P(X) P(Y)}\) 
